LLMEndpoint

Best LLM API Aggregators in 2026

Unified APIs and routing platforms for multi-provider AI apps. This shortlist avoids hard rankings where public data is incomplete.

Short answer

Start with OpenRouter, Portkey, LiteLLM Cloud. Choose based on whether you need fast model access, production routing control, or observability more than a direct provider relationship.

Browse directoryUse endpoint finder
ProviderCategorySupported modelsOpenAI-compatibleStarting priceContextTool callingVisionStreamingStatusTrustLinks
OpenRouterLLM API AggregatorsGPT, Claude, Gemini, DeepSeek-V4YesVaries by model routeModel dependent across upstream routesNoYesYesAvailable11/15
ReviewDocsCompare
PortkeyLLM API AggregatorsGPT, Claude, Gemini, DeepSeek-V4YesPlan dependent plus provider spendProvider dependentNoYesYesAvailable11/15
ReviewDocs
LiteLLM CloudLLM API AggregatorsGPT, Claude, Gemini, MistralYesPlan dependentProvider dependentNoYesYesUnclear10/15
ReviewDocs
HeliconeLLM API Aggregatorsprovider dependentYesPlan dependentProvider dependentNoYesYesAvailable11/15
ReviewDocs

How to read this shortlist

This page is meant to save time, not pretend one provider wins for every workload.

Why these providers made the shortlist

  • These options represent the main reasons teams choose aggregators: access, routing, and governance.
  • The shortlist avoids mixing pure providers with gateway-style products that solve a different problem.
  • It is designed to help readers decide whether they need an intermediary at all.

Why some did not rank higher

  • Some products are stronger gateways than endpoint marketplaces, so rank depends on the actual job-to-be-done.
  • Aggregator value falls quickly if the team only uses one provider.
  • Extra architecture layers are not automatically worth it for small teams.

Who should start here

  • Teams needing fallback, model optionality, or centralized routing.
  • Readers comparing gateway and marketplace-style products.
  • Builders deciding whether abstraction is worth the added layer.

Detailed provider cards

Rankings are intentionally conservative and based on public information, not paid placement.

LLM API Aggregators

OpenRouter

Unified API for accessing many models and providers through a routing and marketplace-style interface.

Models: GPT, Claude, Gemini

model comparisonVaries by model routeModel dependent across upstream routes
Yes OpenAI-compatibleNo tool calling listedTrust 11/15
ReviewCompareEstimate cost
LLM API Aggregators

Portkey

AI gateway and observability platform for routing, fallback, guardrails, caching, and provider management.

Models: GPT, Claude, Gemini

production gatewaysPlan dependent plus provider spendProvider dependent
Yes OpenAI-compatibleNo tool calling listedTrust 11/15
ReviewEstimate cost
LLM API Aggregators

LiteLLM Cloud

Hosted/commercial option around LiteLLM's unified interface for many LLM providers.

Models: GPT, Claude, Gemini

OpenAI-compatible abstractionPlan dependentProvider dependent
Yes OpenAI-compatibleNo tool calling listedTrust 10/15
ReviewEstimate cost
LLM API Aggregators

Helicone

Open-source observability and gateway layer for LLM applications, with logging, caching, and provider visibility.

Models: provider dependent

LLM observabilityPlan dependentProvider dependent
Yes OpenAI-compatibleNo tool calling listedTrust 11/15
ReviewEstimate cost

Selection criteria

Model fit, API compatibility, pricing clarity, status page, support channel, documentation quality, and whether provider claims are easy to verify.

Sponsor disclosure

Sponsored listings must be clearly labeled. Sponsorship does not affect transparency checklist results.

FAQ

How were these best llm api aggregators selected?

The shortlist uses public provider information, category fit, API capabilities, pricing clarity, and transparency signals.

Are sponsored providers ranked higher?

No. Sponsored content must be labeled and does not change checklist results.

Should I choose the cheapest provider?

Only after testing quality, latency, rate limits, support, and data handling for your use case.